Company patents
NORTHWESTERN POLYTECHNICAL UNIVERSITY
NORTHWESTERN POLYTECHNICAL UNIVERSITY's patent strategy reveals a surprising lack of sustained focus, with many categories experiencing significant year-over-year fluctuations. For instance, Loudspeakers & Microphones saw a dramatic 300.0% increase in 2025, only to decline by 75.0% so far in 2026, while areas like Force / Pressure Measurement and Speech Processing have seen a complete cessation of patenting activity so far in 2026, indicating rapidly shifting priorities across its diverse portfolio.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
65 US filings (since 2023) · 12 categories · 17 themes
Techniques for enhancing, encoding, decoding, or separating speech and audio signals, often involving multi-microphone arrays, acoustic echo cancellation, beamforming, or advanced audio compression for improved clarity and quality.
Signal processing techniques for multi-microphone systems to enhance desired audio signals and suppress noise or interference by spatially filtering sound sources, improving signal-to-noise ratio and channel separation.
Design and manufacturing techniques for microelectromechanical systems (MEMS) microphones, focusing on physical components like diaphragms, movable masses, and housing for improved performance, heat management, or fluid interaction.
Systems and sensors designed to measure the pressure difference between two distinct points or to capture rapid, transient pressure fluctuations in fluid or gas systems, often using diaphragms or pistons.
Measures force or pressure by detecting changes in electrical capacitance. This typically involves the deformation of a dielectric material or the relative movement of conductive plates, altering the distance or area between them.
Sensors and systems designed to detect and quantify localized contact forces, pressure distribution, or touch interactions, often employed in robotics, human-machine interfaces, or object manipulation applications.
Systems for coordinating multiple drones, managing their operations within an airspace, including real-time connectivity, traffic management, and task allocation for cooperative missions.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.
Methods and equipment for continuously shaping plastic materials by forcing them through a die, often involving screw extruders, heating elements, and downstream calibration.
Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.
Computational methods for modeling and simulating photolithography processes, including mask design, aerial image generation, and defect prediction for semiconductor manufacturing.
Utilizes optical fibers, often incorporating Fiber Bragg Gratings (FBG), to detect changes in strain, pressure, or temperature based on modifications to light signals (e.g., wavelength shifts, phase changes) transmitted through the fiber.
Methods and systems for identifying synthetic or manipulated speech (deepfake audio) using forensic analysis of audio features, such as breath patterns, vocoder signatures, or machine learning models to determine authenticity.
Mechanisms and algorithms designed to enhance the stability, precision, and safety of drone flight, including damping systems, rotor dynamics, fault-tolerant control, and transition between flight modes.
Techniques for generating, updating, and utilizing highly detailed digital maps that include lane-specific information, and for precisely determining a vehicle's position within these lanes, often using sensor data.
Integration and processing of data from diverse sensors (e.g., magnetometers, odometers, IMUs, vision sensors) to achieve robust and accurate positioning, especially in environments where GPS is unreliable or unavailable.
Patents
Showing 1-1 of 1
Lane-Level Mapping & Localization